Initial price = $0.88 (Jan. 1980)
Final price = $2.11 (Jan. 2015)
Change in price = $2.11 - $0.88 = $1.23
Percentage rise in price = 100(1.23/0.88) = 139.8% ≈ 140%
The average yearly rise in price = 139.8/(2015-1980) ≈ 4%
Answer:
Total percent rise in price = 140%
Average yearly rise in price = 4%
Answer:
Number of units which company plan to produce in February is 352000
Explanation:
We have given expected sales in January, February and march is 440000, 390000 and 380000 units respectively
And desired needing finished goods in inventory in January, February and march is 39000, 38000 and 40000 units respectively
We have to find the how many units company plans to producing for month February
Number of units which company plan to produce in February = 390000 - 38000 = 352000
Answer:
Secondary Data
Explanation:
Secondary data is defined as the data that is collected by the other people other than the end users of it.
In the case, Mark is the end users. And the data is of U.S census bureau, other governments agencies, database, however, is not collected by Mark but by marketing research firms and different reports instead.
So that, in this case, Mark is using secondary data.
IRA stands for Individual Retirement Arrangements. Jimmy can access your money through an IRA withdrawal any time he’d like. There will only be difference in the tax he will have to pay. Without penalty Jimmy in to take his IRA withdrawal once he<span> reaches 59 years. So, Jimmy will have to wait 9 years to be able to withdraw money without penalty.</span>
Answer:
Explanation:
Given:
Selling price of 1 lamp = $6
Cost price of 1 lamp = $4
Units sold per month = 3000
Let $T be the selling price set by the lamp seller.
Number of sold lamps per month = 3000 − (T − 6) × 1000
= 9000 − 1000 × T.
Monthly profit = (9000 − 1000p) × (T − 4)
= −1000T^2 + 13000T − 36000.
Obtaining the derivative,
dS/dT = −2000T + 13000
and setting it to zero
−2000T + 13000 = 0
T = -13000/-2000
optimal selling point, T = $6.5.
